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Objective: The purpose of this study is to examine differences between current and non-current cigarette users, focusing on sociodemographic factors, non-cigarette tobacco product use, parental and friend use, and alcohol and marijuana use; and to identify predictors of cigarette use six months later. Participants: Participants included young adults (n = 4,296) from 24 Texas colleges, participating in a young adult cohort study, beginning in fall 2014. Methods: Mixed effects logistic regressions were conducted accounting for school-level variability. Results: Cigarette users were older, more likely to report use of non-cigarette tobacco products and peer use of cigarettes than non-current users. Wave 1 cigarette and non-cigarette tobacco product use, marijuana use and binge drinking, and peer use all uniquely predicted cigarette use at wave 2. Conclusions: Colleges need prevention programs targeting multiple tobacco products, because non-cigarette tobacco use and other risky behaviors appear to be independent risk factors for cigarette use in young adults.

Objective: To examine the associations between sensation seeking and ever and current e-cigarette use in Texas young adults (18-29 years old). Current cigarette use was examined as a potential effect modifier of the associations. Participants: Participants included college students enrolled in four-year and two-year colleges in four metropolitan areas in Texas (n = 5,418) who completed the survey between November 2014 and February 2015. Methods: This cross-sectional study utilized mixed effects logistic regression to determine the associations between mean sensation seeking scores and ever and current e-cigarette use after controlling for covariates. Results: After controlling for covariates, significant associations between sensation seeking and both ever and current e-cigarette use were observed; however, these associations were significant for noncurrent smokers only (adjusted odds rations [AOR] = 1.55, 95% confidence interval (CI) = 1.39, 1.73; AOR = 1.82, 95% CI = 1.54, 2.15, respectively). Conclusions: Sensation seeking is an important factor in identifying college students who may be at increased risk for e-cigarette use behaviors.

Diverse tobacco and nicotine products have altered the terrain of tobacco use behaviors. Limited research has examined contemporary patterns of use among young adults. This study identified tobacco and nicotine product use groups and examined changes in young adults' use patterns, across a 1.5-year period. Participants were 5,482 18-29-year-old students (M age = 20.5, SD = 2.36; 63% female) from 24 Texas colleges who completed a four-wave bi-annual online survey. Latent transition analysis was used to identify groups from 10 items (ever and current use of cigarettes, cigars, smokeless tobacco, e-cigarettes, and hookah) and to examine probabilities of transitioning between groups over four waves. Five groups were identified: Non-users (30%), Poly-experimenters (26%), Hookah experimenters (18%), E-cigarette & hookah experimenters (15%), and Poly-cigarette users (11%). Few students transitioned between groups over time. Poly-cigarette users had the highest average probability of remaining stable over time (1.00), followed by E-cigarette & hookah experimenters (.97), Non-users (.94), Poly-experimenters (.93), and Hookah experimenters (.92). All groups became more stable over time except Hookah experimenters whose members were most likely to transition to Poly-cigarette users or other experimenter groups. The greatest transition was from Poly-experimenters to Poly-cigarette users with probabilities of .10, .08, and .03 for transitioning between waves one and two, two and three, and three and four, respectively. There was substantial poly-use and experimentation, which may explain little movement between groups over the 1.5-year time period and underscores the need for prevention programs targeting multiple product use among college students. [ABSTRACT FROM AUTHOR]

Objective: The purpose of this study was to identify patterns of tobacco uptake and other substance use, from early to late adolescence. Methods: We used weighted latent class analysis, conducted separately for 7th, 9th, and 11th graders, to assess patterns of susceptibility, ever and current use of combustible tobacco and e-cigarettes, and other substance use (ie, current alcohol, binge drinking, and marijuana). Data were from Wave 3 of the Texas Adolescent Tobacco and Marketing Surveillance System (n = 2733; N = 461,069), collected in fall 2015. Multinomial regression was used to examine differences in class membership by demographic factors. Results: Two latent classes were identified in 7th grade, 3 classes in 9th grade, and 4 classes in 11th grade models. In each grade, classes included both a "no risk" and a "tobacco susceptible" class. For 9th grade, there was an additional "tobacco ever use" class, and 11th grade had the same additional class as well as an "all products use" class. Conclusion: Distinct patterns of polysubstance use emerged as grade level increased, supporting a stage-sequential model of onset and progression across developmental age groups. Future research can examine other factors affecting transitions across these stages. [ABSTRACT FROM AUTHOR]

Background: Outcome expectations are an important determinant of health behavior, according to Social Cognitive Theory; yet recent literature has not examined the relationship between outcome expectations and tobacco product use (e.g., use of cigarettes, cigars, hookah, e-cigarettes, or smokeless tobacco). Objectives: This study examines if outcome expectations at baseline, among an adolescent cohort of never users of tobacco products, predicts tobacco product use (i.e., cigarettes, hookah, e-cigarette, cigar, or smokeless tobacco) or susceptibility to use at 6-month follow-up. Methods: Data are from the first two waves of a Texas cohort study of urban middle school and high school students, which were collected in 2014-2015. Logistic regression analyses were used; these adjusted for socio-demographic variables. Analyses were limited to never users of any tobacco product at baseline (n = 1999, N = 357,035). Results: Outcome expectations related to stress relief predicted ever use of (AOR: 4.21, 95% CI 1.84-9.60) and susceptibility (AOR: 2.97, 95% CI 1.01-8.70) to tobacco products. Additional outcome expectations (e.g., relaxation, concentration, slimness, etc.) were not associated with ever use or susceptibility. Conclusions/Importance: This study extends the literature regarding outcome expectations among adolescents regarding tobacco products. It is important that interventions offer alternative solutions to stress relief that do not include tobacco products. [ABSTRACT FROM AUTHOR]

The article discusses research regarding social norms, risk perceptions, and dual-poly-tobacco product use among Texas youth as of 2016. Adolescent tobacco use in America is examined, along with the behaviors of students in public, private, and charter schools in five Texas counties with respect to items such as electronic cigarettes, hookah pipes, cigars, and smokeless tobacco products. The impacts of social influences on adolescent tobacco use are assessed.

The article presents a study on tobacco and electronic cigarette (e-cigarette) use among college students, covering cessation attempts and dependence between exclusive cigarette smokers and those who use cigarettes an at least one alternative tobacco product. The authors conclude that using multiple products is associated with some dependence indicator but has no influence on students' smoking cessation attempts.

The article presents a study that examines the differences in the characteristics of youth non-users, cigarette-only, electronic-cigarette-only, and dual e-cigarette and cigarette users. Topics covered include the study's use of multiple linear regression analyses, peer use of cigarettes by dual users, and perceptions of harm and peer use of e-cigarettes.

Introduction: Research shows that adolescents who are overweight or obese may be at greater risk of cigarette smoking, and that this relationship may vary by gender. However, this relationship is understudied for electronic cigarettes (e-cigarettes). Given the high rate of adolescent obesity and the rise in e-cigarette use in adolescents, this relationship should be investigated.Methods: Data are from the third wave (collected October 2015-January 2016) of the Texas Adolescent Tobacco and Marketing Surveillance system. Students were in the seventh, ninth, and 11th grades (n=2,733) from five counties surrounding four major Texas metropolitan areas (Houston, Austin, San Antonio, Dallas). Weighted logistic regression was used to determine if weight status (healthy weight, overweight, or obese) was correlated with ever and past 30-day cigarette or e-cigarette use, controlling for sociodemographics. Models were stratified by gender. Data analyses were conducted in March 2017.Results: Compared with healthy-weight boys, obese boys had higher odds of past 30-day e-cigarette use (AOR=3.45, 95% CI=1.34, 8.33) and cigarette smoking (AOR=4.52, 95% CI=1.32, 15.51). There was no significant relationship between weight status and cigarette or e-cigarette use in girls.Conclusions: This study supports that there is a positive relationship between weight status and past 30-day cigarette and e-cigarette use for boys, but that there is no association for girls. [ABSTRACT FROM AUTHOR]

Introduction: Sensation seeking is strongly associated with cigarette use in adolescents. However, few studies have investigated its relationship with adolescent e-cigarette use. This study examined cross-sectional and longitudinal associations between sensation seeking and a variety of e-cigarette use behaviors among Texas adolescents.Methods: This study utilized two waves of data collected 6months apart through the Texas Adolescent Tobacco and Marketing Surveillance System (TATAMS) in 2014-2015 (n=2,488/N=461,069). TATAMS employs a complex probability-sampling design and is representative of students in 6th, 8th and 10th grades from five counties surrounding the four largest cities in Texas (Houston, Dallas/Ft. Worth, San Antonio, Austin). Weighted multivariable logistic regression was used to examine the cross-sectional and longitudinal associations between sensation seeking and susceptibility to e-cigarette use, ever e-cigarette use, and current (past 30day) e-cigarette use.Results: In the cross-sectional analyses, higher mean sensation seeking scores were associated with higher odds of both susceptibility to e-cigarette use and ever e-cigarette use (AOR=1.25, 95% CI=1.07, 1.47; AOR=1.24, 95% CI=1.08, 1.43, respectively). For the longitudinal analyses, only the association between higher mean sensation seeking scores and transition to ever e-cigarette use remained statistically significant (AOR=1.45, 95% CI=1.01, 2.08). There were no significant associations between sensation seeking and current e-cigarette use in either the cross-sectional or longitudinal analyses.Conclusions: Higher sensation seeking scores were consistently and significantly related to experimentation with e-cigarette use among Texas adolescents. Future interventions (e.g., communication campaigns) should target high sensation seeking adolescents to reduce initiation of e-cigarette use among this population. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study was to compare characteristics of usual JUUL users versus other electronic nicotine delivery systems (ENDS) users, examine differences in reasons for use and perceptions across ENDS user groups, and identify significant correlates of usual JUUL use., Methods: This study used data from 510 young adult ENDS users (ages 18-29 years) from Wave 7 (Spring 2018) of the Marketing and Promotions Across Colleges in Texas Project (Project M-PACT). Chi-Square analyses, independent t-tests, and mixed-effects logistic regression analyses were conducted to identify factors associated with usual JUUL use. Four separate regression analyses were conducted based on independent variables of interest; all models included demographics and ENDS/other tobacco use behaviors as covariates., Results: Compared with other ENDS users, usual JUUL users were more likely to be male, younger, smoke cigarettes, reported a higher socioeconomic status (SES), used ENDS on more days in the past 30 days, and reported nicotine "hit" as a reason for use. Usual JUUL users had a higher prevalence of perceiving JUUL/pod vapes as addictive compared with other ENDS users, although perceived addictiveness was not significant in the multivariable models nor were the cessation and dependence measures different between ENDS user groups., Conclusions: Results highlight concerns about the dual use of JUUL and cigarettes and raise additional concerns about the high nicotine concentration of JUUL. Future longitudinal research is needed to determine if usual JUUL users are more likely to develop symptoms of nicotine dependence compared with other ENDS users., (Copyright © 2019 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.)

Introduction: E-cigarette use and devices are rapidly changing, yet there is not much scientific evidence examining these changes over time. The purpose of this study is to describe patterns of e-cigarette use in a sample of sustained (i.e., reporting past 30-day e-cigarette use at every wave) e-cigarette users over a two-year period., Methods: Data are drawn from five waves of the Project M-PACT cohort. Analyses are limited to those reporting past 30-day e-cigarette use at each wave (n = 75). Mixed effects regressions were conducted for the following dependent variables: device type, number of days used, combustible tobacco product use, and symptoms of nicotine dependence. Each model used survey wave as the time variable, and controlled for sociodemographic variables., Results: Among sustained users, the majority reported using a rechargeable device. The average number of days used was about 2 for disposable devices and 14 for rechargeable devices (p < .0001). The odds of combustible tobacco product use decreased over time (AOR = 0.71; 95% CI 0.57-0.89), while symptoms of e-cigarette nicotine dependence increased over time (β = 0.07 SE = 0.03, p-value = .02). For both e-cigarette device types, there were no changes in device type or number of days used over time., Conclusion: This is one of the first studies to look at changes in e-cigarette use, including symptoms of dependence and number of days used over a two-year period. This brief report extends the current literature by examining more than the prevalence and frequency of e-cigarette use., (Copyright © 2018 Elsevier Ltd. All rights reserved.)

Introduction: Hookah use is particularly prevalent among U.S. college students; however, few studies have investigated whether hookah use is a risk factor for the initiation of other tobacco products. This study examined whether hookah use predicted subsequent initiation of other combustible tobacco products (conventional cigarettes and cigar products) and Electronic Nicotine Delivery Systems (ENDS) among Texas college students during a 2.5-year study period., Methods: This study involved a longitudinal analysis of data from Waves 1-6, with 6 months between each wave, of the Marketing and Promotions Across Colleges in Texas Project (Project M-PACT). Two separate multilevel discrete-time survival analyses were used to model the associations between past 30-day hookah use and subsequent initiation of 1) other combustible tobacco products, and 2) ENDS during the 2.5 year study period, after controlling for demographic, other tobacco use, and risk-taking personality characteristics (i.e. sensation seeking and impulsivity)., Results: After controlling for covariates, past 30-day hookah use was associated with significantly higher odds of subsequent initiation of other combustible tobacco products. Past 30-day hookah use also predicted subsequent initiation of ENDS after controlling for covariates., Conclusions: This study is one of the first to demonstrate that hookah use is a predictor of subsequent initiation of other combustible tobacco products and ENDS among college students. These findings suggest that hookah may prime individuals to use other tobacco products, which has important implications for prevention programs and future research., (Copyright © 2018. Published by Elsevier Ltd.)

Introduction: The potential of e-cigarettes to elicit symptoms of nicotine dependence has not been adequately studied, particularly in adolescent populations. The present study examined the prevalence of e-cigarette-specific symptoms of nicotine dependence ("symptoms of e-cigarette dependence") and the associations between these symptoms, e-cigarette usage group, and e-cigarette cessation-related items among Texas adolescents., Methods: This study involved a cross-sectional analysis of adolescents from Wave 4 of the Texas Adolescent Tobacco and Marketing Surveillance System (TATAMS) (n = 2891/N = 461,069). Chi-Square analyses examined differences in the prevalence of symptoms of dependence by e-cigarette usage group (exclusive versus dual users of e-cigarettes and combustible tobacco products) and demographic characteristics. Weighted multivariable logistic regression analyses examined the associations between symptoms of e-cigarette dependence, e-cigarette usage group, and e-cigarette cessation items., Results: Exclusive e-cigarette users experienced symptoms of e-cigarette dependence, although the prevalence of most of the symptoms was higher for dual users. Adolescents who reported more symptoms of dependence were less likely to report both wanting to quit e-cigarettes and a past-year quit attempt for e-cigarettes (adjusted odds ratio "AOR" = 0.61 (95% CI = 0.41, 0.92) and AOR = 0.52 (95% CI = 0.30, 0.92), respectively)., Conclusions: This study is the first to demonstrate that adolescent e-cigarette users are experiencing symptoms of dependence specific to e-cigarettes. In addition, symptoms of dependence may be barriers to e-cigarette cessation. Future research is needed to determine if characteristics of e-cigarette use (e.g. frequency and intensity) are associated with dependence., (Copyright © 2018. Published by Elsevier Ltd.)